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Computational Error and Complexity in Science and Engineering
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  • Computational Error and Complexity in Science and Engineering
ID: 171414
Vangipuram Lakshmikantham, Syamal Sen
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The book "Computational Error and Complexity in Science and Engineering". Scientific and engineering computation is the interface between the mathematical model and the real world application. One needs to obtain good quality numerical values for any real-world implementation. Just mathematical quantities symbols are of use to engineers / technologists. Computational complexity of the numerical method to solve the mathematical model, and to tell us how to do it. Anyone who wants the physical problem to be solved. The computed error as well as the complexity.
(I) Computational Mathematics, (ii) Applied Mathematics / Computational Engineering, Numerical and Computational Physics, Simulation and Modeling. Operations Research (both deterministic and stochastic), Computing Methodologies, Computer Applications, and Numerical Methods in Engineering.

Key Features:

- Describes precisely ready-to-use computational error and complexity
- Includes the simple easy-to-grasp examples wherever necessary.
- Presents error and complexity in error-free, parallel, and probabilistic methods.
- Discusses deterministic and probabilistic methods with error and complexity.
- Points out the scope and limitation of mathematical error-bounds.
- Provides a comprehensive up-to-date bibliography after each chapter.

· Describes precisely ready-to-use computational error and complexity
· Includes the simple easy-to-grasp examples wherever necessary.
· Presents error and complexity in error-free, parallel, and probabilistic methods.
· Discusses deterministic and probabilistic methods with error and complexity.
· Points out the scope and limitation of mathematical error-bounds.
· Provides a comprehensive up-to-date bibliography after each chapter.

Preface
I. Introduction
II. Error: Precisely What, Why, and How
III. Complexity: What, Why, and How
IV. Errors and Approximations in Digital Computers
V. Error and Complexity in Numerical Methods
VI. Error and Complexity in Error-Free, Parallel, and Probabilistic Computations
171414

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