9789153181750 - thinking in systems, not code: using modelica to model and understand complex systems de naik, mr. ankit anurag (16 resultados)
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Paperback. Condición: new. Paperback. Most people are taught to solve problems by breaking them into steps and writing code.But complex systems-energy grids, electric vehicles, industrial processes, and organizations-don't behave like step-by-step programs.They behave like systems: interconnected, feedback-driven, and emergent.T…hinking in Systems, Not Code teaches you to model reality the way it actually works-not as sequences of instructions, but as structures where behavior emerges from relationships.Using Modelica and equation-based modeling, you'll learn to ask: "How is this system structured?"instead of"How do I compute this?"This shift makes complexity manageable-and models reusable across domains.What You'll LearnFrame problems as systems, not isolated calculationsChoose meaningful system boundaries and levels of abstractionModel using structure and relationships, not execution orderApply conservation laws, feedback, and hierarchy across domainsBuild models that scale, adapt, and reveal emergent behaviorUse models as tools for reasoning and decision-making-not just simulationWho This Book Is ForThis book is for readers who work with complex technical or socio-technical systems and want a deeper, more rigorous way to reason about them.You may be: An engineer working with physical, energy, or cyber-physical systemsA researcher or educator modeling dynamic processesA systems architect or technical decision-maker evaluating design trade-offsA practitioner using models, simulations, or quantitative analysis to support decisionsNo prior Modelica experience is required.Familiarity with basic mathematics, equations, or modeling concepts is helpful. Model reality as systems, not steps. Using Modelica and equation-based thinking, this book teaches engineers and researchers to reason through complexity via structure, feedback, and relationships. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback. Condición: new. Paperback. Most people are taught to solve problems by breaking them into steps and writing code.But complex systems-energy grids, electric vehicles, industrial processes, and organizations-don't behave like step-by-step programs.They behave like systems: interconnected, feedback-driven, and emergent.T…hinking in Systems, Not Code teaches you to model reality the way it actually works-not as sequences of instructions, but as structures where behavior emerges from relationships.Using Modelica and equation-based modeling, you'll learn to ask: "How is this system structured?"instead of"How do I compute this?"This shift makes complexity manageable-and models reusable across domains.What You'll LearnFrame problems as systems, not isolated calculationsChoose meaningful system boundaries and levels of abstractionModel using structure and relationships, not execution orderApply conservation laws, feedback, and hierarchy across domainsBuild models that scale, adapt, and reveal emergent behaviorUse models as tools for reasoning and decision-making-not just simulationWho This Book Is ForThis book is for readers who work with complex technical or socio-technical systems and want a deeper, more rigorous way to reason about them.You may be: An engineer working with physical, energy, or cyber-physical systemsA researcher or educator modeling dynamic processesA systems architect or technical decision-maker evaluating design trade-offsA practitioner using models, simulations, or quantitative analysis to support decisionsNo prior Modelica experience is required.Familiarity with basic mathematics, equations, or modeling concepts is helpful. Model reality as systems, not steps. Using Modelica and equation-based thinking, this book teaches engineers and researchers to reason through complexity via structure, feedback, and relationships. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Paperback. Condición: new. Paperback. Most people are taught to solve problems by breaking them into steps and writing code.But complex systems-energy grids, electric vehicles, industrial processes, and organizations-don't behave like step-by-step programs.They behave like systems: interconnected, feedback-driven, and emergent.T…hinking in Systems, Not Code teaches you to model reality the way it actually works-not as sequences of instructions, but as structures where behavior emerges from relationships.Using Modelica and equation-based modeling, you'll learn to ask: "How is this system structured?"instead of"How do I compute this?"This shift makes complexity manageable-and models reusable across domains.What You'll LearnFrame problems as systems, not isolated calculationsChoose meaningful system boundaries and levels of abstractionModel using structure and relationships, not execution orderApply conservation laws, feedback, and hierarchy across domainsBuild models that scale, adapt, and reveal emergent behaviorUse models as tools for reasoning and decision-making-not just simulationWho This Book Is ForThis book is for readers who work with complex technical or socio-technical systems and want a deeper, more rigorous way to reason about them.You may be: An engineer working with physical, energy, or cyber-physical systemsA researcher or educator modeling dynamic processesA systems architect or technical decision-maker evaluating design trade-offsA practitioner using models, simulations, or quantitative analysis to support decisionsNo prior Modelica experience is required.Familiarity with basic mathematics, equations, or modeling concepts is helpful. Model reality as systems, not steps. Using Modelica and equation-based thinking, this book teaches engineers and researchers to reason through complexity via structure, feedback, and relationships. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Most people are taught to solve problems by breaking them into steps and writing code.But complex systems-energy grids, electric vehicles, industrial processes, and organizations-don't behave like step-by-step programs.They behave like s…ystems: interconnected, feedback-driven, and emergent.Thinking in Systems, Not Code teaches you to model reality the way it actually works-not as sequences of instructions, but as structures where behavior emerges from relationships.Using Modelica and equation-based modeling, you'll learn to ask:'How is this system structured 'instead of'How do I compute this 'This shift makes complexity manageable-and models reusable across domains.What You'll LearnFrame problems as systems, not isolated calculationsChoose meaningful system boundaries and levels of abstractionModel using structure and relationships, not execution orderApply conservation laws, feedback, and hierarchy across domainsBuild models that scale, adapt, and reveal emergent behaviorUse models as tools for reasoning and decision-making-not just simulationWho This Book Is ForThis book is for readers who work with complex technical or socio-technical systems and want a deeper, more rigorous way to reason about them.You may be:An engineer working with physical, energy, or cyber-physical systemsA researcher or educator modeling dynamic processesA systems architect or technical decision-maker evaluating design trade-offsA practitioner using models, simulations, or quantitative analysis to support decisionsNo prior Modelica experience is required.Familiarity with basic mathematics, equations, or modeling concepts is helpful.
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Taschenbuch. Condición: Neu. Thinking in Systems, Not Code | Ankit Anurag Naik | Taschenbuch | Englisch | 2026 | Ankit Anurag Naik | EAN 9789153181750 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
