Scottish science society (47 resultados)

Condición: New.

paperback. Condición: New.

Condición: New.

Condición: New.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: New.

Condición: New.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: New.

FIRST EDITION, octavo hardcover (VG) in d/w (VG); all our specials have minimal description to keep listing them viable. They are at least reading copies, complete and in reasonable condition, but usually secondhand; frequently they are superior examples. Ordering more than one book may reduce your overall postage costs.…

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Original Cloth. 1st Edition. 30 x 21 cm., x, 281 pp. The book is covered in red cloth with gilt lettering on the spine. CONDITION. VG+/no dj. A very clean tight copy. Near fine except for library marks and labels front end papers. Ex-Library.

Condición: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, and may have sticker on cover, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Hard Cover. Condición: Good. No Jacket. First Edition. From an academic library with the usual stamps etc.

Paperback. Condición: new. Paperback. There are instruments which disappear into the hand and instruments which insist upon being noticed. A pencil belongs to the first class; a new graphing calculator, arriving with a brighter screen, a revised keyboard and a small procession of promises, belongs emphatically to the second. Yet the distinction does not last. Once an instrument has been properly understood, its surfaces cease to interrupt thought. The hand knows where to go, the eye knows what to distrust, and the mind is released from the petty taxation of menus. This book is intended to hasten that fortunate disappearance.The TI-84 Evo is not merely the latest occupant of a familiar numerical household. It preserves a language of functions, lists, matrices, graphs and programs that has been taught for decades, while altering the manner in which the user encounters that language. An icon-based Home Screen replaces the older presumption that every command should be remembered before it may be found; the graphing field is enlarged; points of mathematical interest announce themselves during tracing; lines and conics receive a more deliberate environment; Python stands beside TI-Basic; and USB-C, at last, permits the cable drawer to surrender one of its minor absurdities. None of these changes abolishes the need to understand mathematics. They make that need more visible, because an answer obtained quickly can be believed incorrectly with corresponding speed.The proper study of a calculator is therefore neither button worship nor button disdain. The first confuses facility with knowledge; the second mistakes inconvenience for intellectual virtue. A graphing calculator is valuable when it moves the learner among numerical, graphical and algebraic representations, when it permits conjecture to be made cheaply and correction to be made without humiliation, and when its output is treated as evidence to be judged rather than an oracle to be obeyed. Research on graphing-calculator teaching has long suggested that access alone is insufficient: curriculum, pedagogy and the user's habits determine whether the instrument enlarges or merely accelerates thought (Kastberg Leatham, 2005). The pages that follow are constructed around that sterner and more fruitful proposition.The reader will consequently be asked to do more than imitate keypresses. Every procedural sequence is preceded by the mathematical object it is meant to represent and followed by an independent check. Every equation is derived before it is numbered. Every graph is interpreted before it is admired. Where the calculator is exact, we shall say why; where it is approximate, we shall ask how approximate; where it is silent, we shall resist the vulgar temptation to fill the silence with confidence.One may begin this volume as a novice and finish it as a competent calculator programmer, statistical analyst and numerical modeller. The route is progressive, but not condescending. Elementary operations are examined with the same care later given to regression, numerical integration and differential equations, for the elementary is not the opposite of the profound; it is usually the place where the profound has been folded until it fits in a pocket This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condición: new. Paperback. Volume II continues the journey from competent programming to independent practice and intelligent systems. It opens the world beyond a single file - networks, APIs, databases, automation, visualisation, and deployment - and then turns Python and AI into partners in learning and problem solving. Across Chapters 52-100 you will build web and data applications, negotiate HTTP, JSON, and APIs, manage data stores, automate workflows, and apply Python to science, computation, and machine learning. You will learn to use AI as a tutor, collaborator, critical reviewer, and pair programmer - always within declared boundaries and with verification as the final authority. Every chapter begins with purpose, boundary, contents, learning aims, and reasons for care. You will predict, test, inspect, and explain. You will keep the smallest test that can change your mind. You will treat elegant explanations as proposals until evidence confirms them. Write the prediction. Run the test. Earn the result. A rigorous second volume carrying Python learners from competent programming into APIs, databases, automation, visualization, deployment, machine learning, and disciplined AI-assisted problem solving. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condición: new. Paperback. Calculus Numericus is a comprehensive modern treatise on the art and science of computing with numbers: the discipline by which the continuous mathematics of the world is entrusted to the discrete arithmetic of the machine, and by which we learn how far that trust may safely extend. Across eight parts and forty-one chapters, the book develops the subject from first principles to its present frontiers. It begins with finite-precision arithmetic, error, conditioning and stability; proceeds through interpolation, differentiation, integration and numerical linear algebra; derives the methods for ordinary and partial differential equations; and then turns to optimisation, inverse problems, Monte Carlo simulation, uncertainty quantification, automatic differentiation, parallel computation and scientific machine learning. Three integrated studios apply the whole apparatus to physical systems, living systems, medical imaging, earth science, finance and decision under uncertainty. Every formula is derived, every algorithm motivated, and every figure generated from the methods the text describes. Rigorous without being oracular, and practical without becoming a catalogue of recipes, the volume is at once a graduate course, a working reference and an extended argument for numerical analysis as a science of judgement Numerical Calculus and its applications This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condición: new. Paperback. Part I: Physical & Mathematical Foundations (Ch. 1-4) - Lays down scaling, ODEs/PDEs, statistical mechanics, and thermal energy scales ($E_{\text{th}} = k_B T$). Part II: Water, Solutions & Molecular Energetics (Ch. 5-8) - Covers hydrophobic effects, Poisson-Boltzmann electrostatics, diffusion, and binding kinetics. Part III: Macromolecular Structure & Dynamics (Ch. 9-12) - Explores protein folding, DNA elasticity/supercoiling, polymer physics, and molecular dynamics. Part IV: Membranes & Interfacial Biophysics (Ch. 13-16) - Details lipid phase behavior, Helfrich bending energy, and ion channel gating. Part V: Molecular Machines, Reactions & Energy Conversion (Ch. 17-20) - Analyzes catalytic perfection, chemiosmotic coupling, molecular motors, and central dogma kinetics. Part VI: Cellular Mechanics & Motility (Ch. 21-24) - Covers active gels, cell mechanics, low-Reynolds-number swimming, and microfluidics. Part VII: Electrical, Sensory & Neural Biophysics (Ch. 25-28) - Covers Hodgkin-Huxley dynamics, synaptic transmission, sensory transduction, and cardiovascular mechanics. Part VIII: Biological Information, Networks & Collective Organisation (Ch. 29-32) - Focuses on non-equilibrium thermodynamics, Shannon information, stochastic gene expression, and active matter / Turing patterns. Part IX: Experimental, Computational & Integrative Biophysics (Ch. 33-35) - Reviews structural biophysics (Cryo-EM, NMR, Optical Tweezers), super-resolution microscopy, multiscale modeling, and synthetic cell design. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Paperback. Condición: new. Paperback. Every science has its characteristic temptation. Physics is tempted tosuppose that the universe is simple; history, that it is significant; andbiochemistry - the youngest and most self-confident of the experimentalsciences - is tempted to suppose that it is finished. One need only open amodern compendium to see the shape of the temptation: here are the pathways, neatly engraved; here the enzymes, each with its number; here the genomes, each with its address. The whole of life, it would appear, has been filed. Thepresent treatise is written in the conviction that this appearance, though a creditto the industry of a hundred years, is a little premature - and that a subject soyoung ought not yet to speak of itself in the past tense.What, then, is attempted here? Not an encyclopaedia, for the world hasexcellent ones, and an encyclopaedia is by its nature a cabinet in which theobjects have ceased to touch one another. Not a laboratory manual, for handsare taught in laboratories and not in prefaces. biochemistry - comprehensive This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condición: new. Paperback. The TI-36X Pro is a pocket-sized calculator for mathematics, science, engineering, and statistics. The treatise develops the system from first principles through fifty chapters covering examination work and technical application. It covers keyboard, display, menus, modes, grammar of entry, exact arithmetic, algebraic syntax, trigonometric computation, complex numbers, numerical calculus, matrices, vectors, regression, probability, and discrete mathematics. Includes worked examples, colour diagrams, graphs, complete exercises, error analysis, and interpretative commentary. For students, teachers, scientists, engineers, and independent learners. A complete scientific calculator treatise for the TI-36X Pro, with worked examples, diagrams, exercises, and technical applications. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Calculus Numericus is a comprehensive modern treatise on the art and science of computing with numbers: the discipline by which the continuous mathematics of the world is entrusted to the discrete arithmetic of the machine, and by which we learn how far that trust may safely extend. Across eight parts and forty-one chapters, the book develops the subject from first principles to its present frontiers. It begins with finite-precision arithmetic, error, conditioning and stability; proceeds through interpolation, differentiation, integration and numerical linear algebra; derives the methods for ordinary and partial differential equations; and then turns to optimisation, inverse problems, Monte Carlo simulation, uncertainty quantification, automatic differentiation, parallel computation and scientific machine learning. Three integrated studios apply the whole apparatus to physical systems, living systems, medical imaging, earth science, finance and decision under uncertainty. Every formula is derived, every algorithm motivated, and every figure generated from the methods the text describes. Rigorous without being oracular, and practical without becoming a catalogue of recipes, the volume is at once a graduate course, a working reference and an extended argument for numerical analysis as a science of judgement 724 pp. Englisch.…

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Volume II continues the journey from competent programming to independent practice and intelligent systems. It opens the world beyond a single file - networks, APIs, databases, automation, visualisation, and deployment - and then turns Python and AI into partners in learning and problem solving. Across Chapters 52-100 you will build web and data applications, negotiate HTTP, JSON, and APIs, manage data stores, automate workflows, and apply Python to science, computation, and machine learning. You will learn to use AI as a tutor, collaborator, critical reviewer, and pair programmer - always within declared boundaries and with verification as the final authority. Every chapter begins with purpose, boundary, contents, learning aims, and reasons for care. You will predict, test, inspect, and explain. You will keep the smallest test that can change your mind. You will treat elegant explanations as proposals until evidence confirms them. Write the prediction. Run the test. Earn the result. 498 pp. Englisch. …

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 756 pp. Englisch.

Paperback. Condición: new. Paperback. Calculus Numericus is a comprehensive modern treatise on the art and science of computing with numbers: the discipline by which the continuous mathematics of the world is entrusted to the discrete arithmetic of the machine, and by which we learn how far that trust may safely extend. Across eight parts and forty-one chapters, the book develops the subject from first principles to its present frontiers. It begins with finite-precision arithmetic, error, conditioning and stability; proceeds through interpolation, differentiation, integration and numerical linear algebra; derives the methods for ordinary and partial differential equations; and then turns to optimisation, inverse problems, Monte Carlo simulation, uncertainty quantification, automatic differentiation, parallel computation and scientific machine learning. Three integrated studios apply the whole apparatus to physical systems, living systems, medical imaging, earth science, finance and decision under uncertainty. Every formula is derived, every algorithm motivated, and every figure generated from the methods the text describes. Rigorous without being oracular, and practical without becoming a catalogue of recipes, the volume is at once a graduate course, a working reference and an extended argument for numerical analysis as a science of judgement Numerical Calculus and its applications This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condición: new. Paperback. There are instruments which disappear into the hand and instruments which insist upon being noticed. A pencil belongs to the first class; a new graphing calculator, arriving with a brighter screen, a revised keyboard and a small procession of promises, belongs emphatically to the second. Yet the distinction does not last. Once an instrument has been properly understood, its surfaces cease to interrupt thought. The hand knows where to go, the eye knows what to distrust, and the mind is released from the petty taxation of menus. This book is intended to hasten that fortunate disappearance.The TI-84 Evo is not merely the latest occupant of a familiar numerical household. It preserves a language of functions, lists, matrices, graphs and programs that has been taught for decades, while altering the manner in which the user encounters that language. An icon-based Home Screen replaces the older presumption that every command should be remembered before it may be found; the graphing field is enlarged; points of mathematical interest announce themselves during tracing; lines and conics receive a more deliberate environment; Python stands beside TI-Basic; and USB-C, at last, permits the cable drawer to surrender one of its minor absurdities. None of these changes abolishes the need to understand mathematics. They make that need more visible, because an answer obtained quickly can be believed incorrectly with corresponding speed.The proper study of a calculator is therefore neither button worship nor button disdain. The first confuses facility with knowledge; the second mistakes inconvenience for intellectual virtue. A graphing calculator is valuable when it moves the learner among numerical, graphical and algebraic representations, when it permits conjecture to be made cheaply and correction to be made without humiliation, and when its output is treated as evidence to be judged rather than an oracle to be obeyed. Research on graphing-calculator teaching has long suggested that access alone is insufficient: curriculum, pedagogy and the user's habits determine whether the instrument enlarges or merely accelerates thought (Kastberg Leatham, 2005). The pages that follow are constructed around that sterner and more fruitful proposition.The reader will consequently be asked to do more than imitate keypresses. Every procedural sequence is preceded by the mathematical object it is meant to represent and followed by an independent check. Every equation is derived before it is numbered. Every graph is interpreted before it is admired. Where the calculator is exact, we shall say why; where it is approximate, we shall ask how approximate; where it is silent, we shall resist the vulgar temptation to fill the silence with confidence.One may begin this volume as a novice and finish it as a competent calculator programmer, statistical analyst and numerical modeller. The route is progressive, but not condescending. Elementary operations are examined with the same care later given to regression, numerical integration and differential equations, for the elementary is not the opposite of the profound; it is usually the place where the profound has been folded until it fits in a pocket This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condición: new. Paperback. Every science has its characteristic temptation. Physics is tempted tosuppose that the universe is simple; history, that it is significant; andbiochemistry - the youngest and most self-confident of the experimentalsciences - is tempted to suppose that it is finished. One need only open amodern compendium to see the shape of the temptation: here are the pathways, neatly engraved; here the enzymes, each with its number; here the genomes, each with its address. The whole of life, it would appear, has been filed. Thepresent treatise is written in the conviction that this appearance, though a creditto the industry of a hundred years, is a little premature - and that a subject soyoung ought not yet to speak of itself in the past tense.What, then, is attempted here? Not an encyclopaedia, for the world hasexcellent ones, and an encyclopaedia is by its nature a cabinet in which theobjects have ceased to touch one another. Not a laboratory manual, for handsare taught in laboratories and not in prefaces. biochemistry - comprehensive This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condición: new. Paperback. Volume II continues the journey from competent programming to independent practice and intelligent systems. It opens the world beyond a single file - networks, APIs, databases, automation, visualisation, and deployment - and then turns Python and AI into partners in learning and problem solving. Across Chapters 52-100 you will build web and data applications, negotiate HTTP, JSON, and APIs, manage data stores, automate workflows, and apply Python to science, computation, and machine learning. You will learn to use AI as a tutor, collaborator, critical reviewer, and pair programmer - always within declared boundaries and with verification as the final authority. Every chapter begins with purpose, boundary, contents, learning aims, and reasons for care. You will predict, test, inspect, and explain. You will keep the smallest test that can change your mind. You will treat elegant explanations as proposals until evidence confirms them. Write the prediction. Run the test. Earn the result. A rigorous second volume carrying Python learners from competent programming into APIs, databases, automation, visualization, deployment, machine learning, and disciplined AI-assisted problem solving. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Volume II continues the journey from competent programming to independent practice and intelligent systems. It opens the world beyond a single file - networks, APIs, databases, automation, visualisation, and deployment - and then turns Python and AI into partners in learning and problem solving. Across Chapters 52-100 you will build web and data applications, negotiate HTTP, JSON, and APIs, manage data stores, automate workflows, and apply Python to science, computation, and machine learning. You will learn to use AI as a tutor, collaborator, critical reviewer, and pair programmer - always within declared boundaries and with verification as the final authority. Every chapter begins with purpose, boundary, contents, learning aims, and reasons for care. You will predict, test, inspect, and explain. You will keep the smallest test that can change your mind. You will treat elegant explanations as proposals until evidence confirms them. Write the prediction. Run the test. Earn the result.…