Computational Mathematics BY: N.L. Danilina, N.S. Dubrovskaya, O.P. Kvasha & G.L. Smirnov

Computational Mathematics
Authors: N.L. Danilina, N.S. Dubrovskaya, O.P. Kvasha & G.L. Smirnov
Publisher: Mir Publishers
Edition: 1985
Binding: Hardcover
Pages: 512
Size: 5.5 inch x 8.5 inch

Computational Mathematics by N.L. Danilina, N.S. Dubrovskaya, O.P. Kvasha, and G.L. Smirnov is an authoritative and methodical exploration of numerical computation. This 512-page hardcover edition, published by the renowned Mir Publishers in 1985, brings Soviet mathematical expertise to an international audience. Sized at 5.5 x 8.5 inches, it offers both academic depth and practical utility in a compact and durable format.

Designed as a comprehensive reference and instructional guide, this volume introduces readers to the core techniques and theoretical underpinnings of computational mathematics. It covers essential topics such as linear algebraic equations, interpolation, numerical differentiation and integration, solutions of differential equations, and optimization methods. Emphasis is placed on algorithmic structure, error analysis, and the practical implementation of methods in computing environments.

The book stands out for its clarity of exposition, precise formulation of problems, and focus on accuracy and stability of algorithms — features that reflect the rigorous standards of Soviet mathematical pedagogy. Each chapter includes a wealth of examples, theoretical discussions, and exercises, making it ideal for use in advanced undergraduate and graduate courses in applied mathematics and engineering disciplines.

Whether you’re a student of numerical analysis, a computer scientist looking for solid algorithmic foundations, or a professional working with mathematical models and simulations, Computational Mathematics remains a valuable and insightful resource. Its blend of theoretical rigor and practical applicability ensures that it continues to be relevant in both academic and technical settings.

• Comprehensive Coverage: Offers in-depth chapters on numerical methods, differential equations, optimization, and algorithm design.

• Mathematical Rigor: Authored by leading Soviet mathematicians known for clarity and precision in applied mathematics.

• Practical Focus: Emphasizes real-world applications and algorithmic thinking essential for programming and computational modeling.

• Educational Utility: Ideal for university-level coursework in mathematics, engineering, and computer science.

• Thoughtfully Structured: Includes examples, exercises, and theoretical discussions to reinforce conceptual understanding.

• Hardcover Format: Durable and portable 5.5 x 8.5 inch edition suitable for long-term reference and study.