Scientific C++

Understand is your comprehensive multi-tool for development insights and code analysis. Quickly and efficiently move through your codebase. Rearrange your code into logical groupings, providing a structured view that allows for easy navigation and better understanding of relationships between components. Analyze dependencies between modules, classes, functions, and custom architectures.

The computational demands of modern-day simulation software needed across a range of diverse scientific disciplines lead many programmers to write their code in an object-oriented language such as C++.

Understand is your comprehensive multi-tool for development insights and code analysis. Quickly and efficiently move through your codebase. Rearrange your code into logical groupings, providing a structured view that allows for easy navigation and better understanding of relationships between components. Analyze dependencies between modules, classes, functions, and custom architectures.

C-XSC is a tool for the development of numerical algorithms delivering highly accurate and automatically verified results. It provides a large number of predefined numerical data types and operators. These types are implemented as C++ classes. Thus, C-XSC allows high-level programming of numerical applications in C and C++.

This simple-to-follow textbook/reference provides an invaluable guide to object-oriented C++ programming for scientific computing. Through a series of clear and concise discussions, the key features most useful to the novice programmer are explored, enabling the reader to quickly master the basics and build the confidence to investigate less well-used features when needed. The text presents a hands-on approach that emphasizes the benefits of learning by example, stressing the importance of a clear programming style to minimise the introduction of errors into the code, and offering an extensive selection of practice exercises.

Learn numerical computation techniques by applying C++ to solve distinct mathematical tasks

"Introduction to Computational Science" was developed over a period of two years at the University of Utah Department of Computer Science in conjunction with the U.S. Department of Energy-funded Undergraduate Computation in Engineering Science (UCES) program. Each chapter begins by introducing a problem and then guiding the student through its solution. The computational techniques needed to solve the problem are developed as necassary, making the motivation for learning the computing alwasy apparent. Each chapter will introduce a single problem that will be used to motivate a single computing concept. The notes currently consist of 15 chapters. The first seven chapters deal with Maple and the last eight with C. The textbook will contain 20 to 30 chapters covering a similar mix of concepts at a finer level of detail.