Lessons in Scientific Computing
-10%
portes grátis
Lessons in Scientific Computing
Numerical Mathematics, Computer Technology, and Scientific Discovery
Schorghofer, Norbert
Taylor & Francis Ltd
10/2018
190
Mole
Inglês
9781138070585
15 a 20 dias
380
Descrição não disponível.
1. Analytical and Numerical Solutions 2. A Few Concepts from Numerical Analysis 3. Roundoff and Number Representation 4. Programming Languages and Tools 5. Sample Problems; Building Conclusions 6. Approximation Theory 7. Other Common Computational Methods 8. Performance Basics and Computer Architectures 9. High-Performance and Parallel Computing 10. The Operation Count; Numerical Linear Algebra 11. Random Numbers and Stochastic Methods 12. Algorithms, Data Structures, and Complexity 13. Data 14. Building Programs for Computation and Data Analysis 15. Crash Course on Partial Differential Equiations 16. Reformulated Problems
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Execution Time;Scientific computing;Ordinary Differential Equations;Computational physics;Floating Point Operations;Computational engineering;Main Memory;Numerical analysis;Single Cpu Core;Numerical methods;Follow;Numerical programming;Operation Count;Group III;Cpu Core;Ode Integrator;Double Precision Numbers;Scripting Languages;Arithmetic Intensity;Laplace Equation;Gravitational Interaction;Finite Difference Approximation;PDEs;High Degree Polynomial;Cache Misses;Matrix Multiplication;Error Propagation;Relative Error;Ode Solver;Linear Algebra;Data Intensive Problems
1. Analytical and Numerical Solutions 2. A Few Concepts from Numerical Analysis 3. Roundoff and Number Representation 4. Programming Languages and Tools 5. Sample Problems; Building Conclusions 6. Approximation Theory 7. Other Common Computational Methods 8. Performance Basics and Computer Architectures 9. High-Performance and Parallel Computing 10. The Operation Count; Numerical Linear Algebra 11. Random Numbers and Stochastic Methods 12. Algorithms, Data Structures, and Complexity 13. Data 14. Building Programs for Computation and Data Analysis 15. Crash Course on Partial Differential Equiations 16. Reformulated Problems
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Execution Time;Scientific computing;Ordinary Differential Equations;Computational physics;Floating Point Operations;Computational engineering;Main Memory;Numerical analysis;Single Cpu Core;Numerical methods;Follow;Numerical programming;Operation Count;Group III;Cpu Core;Ode Integrator;Double Precision Numbers;Scripting Languages;Arithmetic Intensity;Laplace Equation;Gravitational Interaction;Finite Difference Approximation;PDEs;High Degree Polynomial;Cache Misses;Matrix Multiplication;Error Propagation;Relative Error;Ode Solver;Linear Algebra;Data Intensive Problems
