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engineering Books "Math,physic,Civil engineering, Mechanical engineering, Electrical engineering, Chemical engineering, Computer engineering, Software engineering, Aerospace engineering, Environmental engineering, Biomedical engineering, Industrial engineering, Agricultural engineering, Petroleum engineering, Structural engineering, Marine engineering, Architectural engineering, Automotive engineering, Robotics engineering, Nanotechnology engineering,General Mathematics Books: Mathematics for Beginners, Mathematics for Dummies, The Art of Problem Solving, Mathematics Made Easy, Introduction to Mathematical Thinking, Algebra: Linear Algebra, Abstract Algebra, Elementary Algebra, Group Theory, Polynomial Theory, Quadratic Equations, Calculus: Differential Calculus, Integral Calculus, Multivariable Calculus, Real Analysis, Calculus of Variations, Geometry: Euclidean Geometry, Non-Euclidean Geometry, Differential Geometry, Topology, Geometrical Constructions, Analytic Geometry, Number Theory: Elementary Number Theory, Algebraic Number Theory, Diophantine Equations, Prime Numbers, Modular Arithmetic, Discrete Mathematics: Combinatorics, Graph Theory, Set Theory, Logic and Proof Theory, Recursion Theory, Mathematical Induction, Boolean Algebra, Probability and Statistics: Elementary Probability, Advanced Probability Theory, Mathematical Statistics, Statistical Inference, Bayesian Statistics, Hypothesis Testing, Regression Analysis, Mathematical Logic: Introduction to Mathematical Logic, Gödel's Incompleteness Theorems, Computability Theory, Model Theory, Set Theory and Logic, Mathematical Analysis: Real Analysis, Complex Analysis, Functional Analysis, Measure Theory, Distribution Theory, Advanced Calculus, Applied Mathematics: Numerical Analysis, Mathematical Modelling, Differential Equations, Partial Differential Equations, Optimization Theory, Operations Research, Cryptography: Introduction to Cryptography, Cryptography and Network Security, Public Key Cryptography, Advanced Topics: Mathematical Physics, Topology, Algebraic Geometry, Category Theory, Homotopy Theory, Nonlinear Dynamics and Chaos, Representation Theory, History of Mathematics: History of Mathematics, Famous Mathematicians, Mathematics in Ancient Civilizations, Mathematical Philosophy: Mathematics and Logic, Mathematical Foundations, Introduction to the Philosophy of Mathematics, Miscellaneous: Math Puzzles and Problem Solving, Mathematical Games and Recreations, Mathematics in Nature, Mathematics and Music,

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Elements of Mathematics: A Problem-Centered Approach to History and Foundations (Undergraduate Texts in Mathematics)

Physics for Scientists and Engineers with Modern Physics

A Passion for Mathematics: Numbers, Puzzles, Madness, Religion, and the Quest for Reality by Clifford A Pickover

Engaging in Culturally Relevant Math Tasks, K-5: Fostering Hope in the Elementary Classroom (Corwin Mathematics Series) 1st Edition

Essential Calculus Skills Practice Workbook with Full Solutions

The Principia: The Authoritative Translation and Guide: Mathematical Principles of Natural Philosophy

A First Course in Mathematical Modeling

How to Prove It: A Structured Approach

Great Formulas Explained – Physics, Mathematics, Economics

Mathematics of Deep Learning: An Introduction (De Gruyter Textbook)

Physics: Principles with Applications

Six Easy Pieces: Essentials of Physics Explained by Its Most Brilliant Teacher

Understanding Physics JEE Main & Advanced – Optics and Modern Physics

All the Math You Missed: (But Need to Know for Graduate School)

Mindset Mathematics: Visualizing and Investigating Big Ideas, Grade 2

Essential Mathematics for Quantum Computing: A beginner’s guide to just the math you need without needless complexities

The Calculus Story: A Mathematical Adventure

Classroom-Ready Rich Math Tasks, Grades K-1: Engaging Students in Doing Math (Corwin Mathematics Series)

Mathematical Mindsets: Unleashing Students’ Potential through Creative Mathematics, Inspiring Messages and Innovative Teaching (Mindset Mathematics)

Linear Algebra and Optimization for Machine Learning