Mathematical Modeling for Intelligent Systems 1st Edition

Capture the cutting edge of applied mathematics with Mathematical Modeling for Intelligent Systems, 1st Edition by Mukesh Kumar Awasthi. This authoritative textbook blends rigorous theory with practical insights to help readers translate complex phenomena into solvable mathematical models — a must-have for students, researchers, and engineers working in artificial intelligence, control systems, robotics, and data science.

Begin with clarity: concise explanations introduce fundamental modeling techniques, from differential equations and optimization to stochastic processes and dynamic systems. Progress smoothly through advanced topics tailored for intelligent systems, including model identification, system stability, and computational methods that underpin machine learning and autonomous decision-making.

Designed for real-world impact, the book emphasizes applications across industry and academia. Detailed examples, case studies, and problem sets demonstrate how modeling drives innovation in robotics, signal processing, predictive analytics, and smart infrastructure. Practical algorithms and numerical approaches equip readers to implement models in MATLAB, Python, or other computational platforms.

Why this edition stands out: clear pedagogy, up-to-date methods relevant to current AI and control research, and a balance between mathematical rigor and engineering intuition. Ideal for undergraduate and graduate courses, professional development, and research referencing, it serves readers across India, North America, Europe, and Asia looking to strengthen modeling skills for intelligent systems.

Add Mathematical Modeling for Intelligent Systems, 1st Edition by Mukesh Kumar Awasthi to your library to gain the analytical tools and applied know-how needed to design, analyze, and optimize intelligent solutions in today’s data-driven world. Order now to advance your modeling expertise and practical problem-solving capabilities.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.