9780123017505 - Mathematical Experiments on the Computer (Pure & Applied Mathematics S.) de Grenander, Ulf (6 resultados)

Condición: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Hardcover. Condición: Good. . . . . 8vo, hardcover. No dj, green cloth. Good condition. Ex-library copy, stamping to endpapers and textblock edges. Contents clean, no marking or writing. Binding sturdy, square and tight. 525 pp. Advanced, Higher, Mathematics, 0123017505.

Hardcover. Condición: Very Good. No Jacket. Missing dust jacket; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Hard Cover. Condición: Very Good. No Jacket. First Edition. Ex library book with usual marks and stamps but in virtually unread condition. No creasing to covers or to spine. A very clean very tight copy with bright boards, lightly marked rear and no bumping to corners. 525pp. This work presents the computer as the mathematician's laboratory. We do not use stock photos, the picture displayed is of the actual book for sale. Every one of our books is in stock in the UK ready for immediate delivery. Size: 9.25 x 6.25 inches.

1st edition. Near fine copy in the original gilt-blocked cloth. Slightest suggestion only of dust-dulling to the spine bands and panel edges. Minor library marks remain (internally). Remains particularly well-preserved overall; tight, bright, clean and strong. Physical description; 545 pp. Contents; Part I: EXPERIMENTS ON THE COMPUTER; Chapter 1. Definition of the Subject; Chapter 2. History of the Project; Chapter 3. Case Studies; Experiment 1: From Statistics; Experiment 2: From Linear Algebra; Experiment 3: An Energy Minimization Problem; Experiment 4: Neural Networks (Static Problem); Experiment 5: Limit Theorems on Groups; Experiment 6: Pattern Restoration; Experiment 7: Modeling Language Acquisition; Experiment 8: Study of Invariant Curves. Experiment 9: Neural Networks (Dynamic Problem)Experiment 10: High-Dimensional Geometry; Experiment 11: Strategy of Proofs; Chapter 4. Other Areas; Chapter 5. Software Requirements; Chapter 6. Hardware Requirements; Chapter 7. Practical Advice; Part II: A MATHEMATICIAN'S GUIDE TO APL; Chapter 8. Language for Mathematical Experiments; 1. Mathematical Languages; 2. Requirements for the Language; 3. The Choice of APL; 4. How to Learn APL; Chapter 9. MathematicaI Objects-Data Structures; 1. Hierarchies of Objects; 2. Scalars; 3. Vectors; 4. Sets; 5. Matrices; 6. Other ArraysChapter 10. Functions-APL Statements1. Praxis of Writing APL Code; 2. Numerical Mixed Functions; 3. Structural Mixed Functions; 4. Mixed Functions for Selection; 5. Mixed Functions for Selection Information; 6. Transformations of Data; Chapter 11. APL Operators; 1. The Notion of an Operator; 2. Reduction; 3. Scan; 4. Axis Operator; 5. Inner Product; 6. Outer Product; Chapter 12. APL Programs-Defined Functions; 1. Definition Mode; 2. Flow of Control; 3. Managing Memory; 4. Writing Code Praxis; Part III: DESIGNING MATHEMATICAL EXPERIMENTS; Chapter 13. Designing the Experiment. 1. Choice of Data Structures2. Looking for the Unexpected; 3. Prepare for Continued Experiments; 4. Interpreting the Results; Chapter 14. An Experiment in Heuristic Asymptotics; 1. Guessing About Asymptotics; 2. Synthesis of the Patterns; 3. Recognition of Monotonic Patterns; 4. Some Experiments; 5. Oscillatory Patterns; 6. Experiments with Oscillating Patterns; 7 . Conclusions; Part IV: MATHEMATICAL SOFTWARE FOR EXPERIMENTS; Chapter 15. Organizing a Program Library; 1. Why a Library?; 2. External Documentation; 3. Internal Documentation; 4. Comments in the Code; 5. Program Style. Chapter 16. Algebra. ADD; BALANCE; CHOLESKYC; CHOLSKYR; CONVERT; CUBIC; DIVBY; ELMHES; EVAL and EVAL2; HSHLDR; INVERSE; JACOBI; MATMULT; MAGNITUDE; MULLERM; MULT; MINUS; PDIVBY; POLY; POLYC; POLFACT; POWER; QUARTIC; REVERSE1; REVERSE2; SYNDIV AND SYNDIV1; TQL; Chapter 17. Analysis; BSPL; CONFORMAL; COSFILON and SINFILON; DETERMINANT; GRAMS; INTEGRAL; INTEQ; KUTTA; MRFFT and MRFFTl; NEWTON; ROOT; SIMPSON; SPLINE; SPLINT; SPLDER; TRAPEZOIDAL; Chapter 18. Arithmetic; CONFRAC and RATIONAL; FACTOR; GCD and SCM; PRIMGEN and PRIMGN; Chapter 19. Asymptotics; ASYMPTOTICS; CDIVDIFF; CGAUTORCONCAVEMAJ and CONVEXMIN. Etc. Subjects; Mathematics Data processing. Problems, exercises Mathematics Applications of digital computer systems. 1 Kg. Item is Shipped from Ireland or US locations.

1st edition. Near fine copy in the original gilt-blocked cloth. Slightest suggestion only of dust-dulling to the spine bands and panel edges. Minor library marks remain (internally). Remains particularly well-preserved overall; tight, bright, clean and strong. Physical description; 545 pp. Contents; Part I: EXPERIMENTS ON THE COMPUTER; Chapter 1. Definition of the Subject; Chapter 2. History of the Project; Chapter 3. Case Studies; Experiment 1: From Statistics; Experiment 2: From Linear Algebra; Experiment 3: An Energy Minimization Problem; Experiment 4: Neural Networks (Static Problem); Experiment 5: Limit Theorems on Groups; Experiment 6: Pattern Restoration; Experiment 7: Modeling Language Acquisition; Experiment 8: Study of Invariant Curves. Experiment 9: Neural Networks (Dynamic Problem)Experiment 10: High-Dimensional Geometry; Experiment 11: Strategy of Proofs; Chapter 4. Other Areas; Chapter 5. Software Requirements; Chapter 6. Hardware Requirements; Chapter 7. Practical Advice; Part II: A MATHEMATICIAN'S GUIDE TO APL; Chapter 8. Language for Mathematical Experiments; 1. Mathematical Languages; 2. Requirements for the Language; 3. The Choice of APL; 4. How to Learn APL; Chapter 9. MathematicaI Objects-Data Structures; 1. Hierarchies of Objects; 2. Scalars; 3. Vectors; 4. Sets; 5. Matrices; 6. Other ArraysChapter 10. Functions-APL Statements1. Praxis of Writing APL Code; 2. Numerical Mixed Functions; 3. Structural Mixed Functions; 4. Mixed Functions for Selection; 5. Mixed Functions for Selection Information; 6. Transformations of Data; Chapter 11. APL Operators; 1. The Notion of an Operator; 2. Reduction; 3. Scan; 4. Axis Operator; 5. Inner Product; 6. Outer Product; Chapter 12. APL Programs-Defined Functions; 1. Definition Mode; 2. Flow of Control; 3. Managing Memory; 4. Writing Code Praxis; Part III: DESIGNING MATHEMATICAL EXPERIMENTS; Chapter 13. Designing the Experiment. 1. Choice of Data Structures2. Looking for the Unexpected; 3. Prepare for Continued Experiments; 4. Interpreting the Results; Chapter 14. An Experiment in Heuristic Asymptotics; 1. Guessing About Asymptotics; 2. Synthesis of the Patterns; 3. Recognition of Monotonic Patterns; 4. Some Experiments; 5. Oscillatory Patterns; 6. Experiments with Oscillating Patterns; 7 . Conclusions; Part IV: MATHEMATICAL SOFTWARE FOR EXPERIMENTS; Chapter 15. Organizing a Program Library; 1. Why a Library?; 2. External Documentation; 3. Internal Documentation; 4. Comments in the Code; 5. Program Style. Chapter 16. Algebra. ADD; BALANCE; CHOLESKYC; CHOLSKYR; CONVERT; CUBIC; DIVBY; ELMHES; EVAL and EVAL2; HSHLDR; INVERSE; JACOBI; MATMULT; MAGNITUDE; MULLERM; MULT; MINUS; PDIVBY; POLY; POLYC; POLFACT; POWER; QUARTIC; REVERSE1; REVERSE2; SYNDIV AND SYNDIV1; TQL; Chapter 17. Analysis; BSPL; CONFORMAL; COSFILON and SINFILON; DETERMINANT; GRAMS; INTEGRAL; INTEQ; KUTTA; MRFFT and MRFFTl; NEWTON; ROOT; SIMPSON; SPLINE; SPLINT; SPLDER; TRAPEZOIDAL; Chapter 18. Arithmetic; CONFRAC and RATIONAL; FACTOR; GCD and SCM; PRIMGEN and PRIMGN; Chapter 19. Asymptotics; ASYMPTOTICS; CDIVDIFF; CGAUTORCONCAVEMAJ and CONVEXMIN. Etc. Subjects; Mathematics Data processing. Problems, exercises Mathematics Applications of digital computer systems. 1 Kg. Item is Shipped from Ireland or US locations.