The Vedic Math Bible
The Vedic Math Way is more than a guide to faster calculations-it's a revolutionary journey into the timeless intelligence of ancient Indian mathematics, reimagined for today's learners, educators, and problem-solvers. Whether you're a student aiming to ace competitive exams, a teacher seeking innovative methods to spark numerical intuition, or an adult wishing to rekindle mental sharpness, this book delivers powerful techniques that are as practical as they are profound.Rooted in the 16 foundational Sutras of Vedic Mathematics, this book unveils a system that fosters mental clarity, speed, flexibility, and confidence-not by memorisation, but through intuitive insight. It breaks down complex arithmetic into effortless steps, nurtures logical thinking through pattern recognition, and builds numerical literacy without dependence on calculators or rote learning.What makes this book essential is its structure: every chapter is crafted to demystify the principles, offer real-world applications, and develop scalable skills through practice drills, brain games, and strategy frameworks tailored for timed tests and daily use. From basic operations to Olympiad-level challenges, the content evolves with the reader-making it a true "from beginner to master" experience.This book will be a game-changer for: Students preparing for competitive exams (SAT, GMAT, GRE, CAT, Olympiads, etc.)Educators looking to enrich classrooms with dynamic, ancient-meets-modern methodologyParents supporting their children's learning with logic-based strategiesLifelong learners who want to sharpen their minds and rediscover joy in numbersIn a world obsessed with shortcuts, The Vedic Math Way offers something deeper-a mindset of mastery. It's not just about how fast you solve; it's about how clearly you think. Whether you're battling number anxiety or aiming for mental agility, this book provides the tools, the history, and the roadmap to awaken the inner mathematician in you.
The Vedic Math Bible
The Vedic Math Way is more than a guide to faster calculations-it's a revolutionary journey into the timeless intelligence of ancient Indian mathematics, reimagined for today's learners, educators, and problem-solvers. Whether you're a student aiming to ace competitive exams, a teacher seeking innovative methods to spark numerical intuition, or an adult wishing to rekindle mental sharpness, this book delivers powerful techniques that are as practical as they are profound.Rooted in the 16 foundational Sutras of Vedic Mathematics, this book unveils a system that fosters mental clarity, speed, flexibility, and confidence-not by memorisation, but through intuitive insight. It breaks down complex arithmetic into effortless steps, nurtures logical thinking through pattern recognition, and builds numerical literacy without dependence on calculators or rote learning.What makes this book essential is its structure: every chapter is crafted to demystify the principles, offer real-world applications, and develop scalable skills through practice drills, brain games, and strategy frameworks tailored for timed tests and daily use. From basic operations to Olympiad-level challenges, the content evolves with the reader-making it a true "from beginner to master" experience.This book will be a game-changer for: Students preparing for competitive exams (SAT, GMAT, GRE, CAT, Olympiads, etc.)Educators looking to enrich classrooms with dynamic, ancient-meets-modern methodologyParents supporting their children's learning with logic-based strategiesLifelong learners who want to sharpen their minds and rediscover joy in numbersIn a world obsessed with shortcuts, The Vedic Math Way offers something deeper-a mindset of mastery. It's not just about how fast you solve; it's about how clearly you think. Whether you're battling number anxiety or aiming for mental agility, this book provides the tools, the history, and the roadmap to awaken the inner mathematician in you.
Geometry of the Triangle
Triangle geometry is a captivating yet often overlooked subject in high school and university curricula. This book offers a clear and engaging introduction, presenting the fundamental lines, points, and circles associated with the triangle in an accessible and visually compelling way. Theorems and proofs are carefully developed with no steps omitted, ensuring clarity and ease of understanding. A wealth of full-color illustrations enhances the mathematical reasoning, making even complex concepts intuitive. Requiring only basic knowledge of school geometry, this book unveils surprising and elegant connections within triangle geometry. Readers will explore key topics, including the Euler line, nine-point circle, symmedians, halfway points, and more, each presented in a structured and reader-friendly manner. With a gentle yet thorough approach, the text guides readers through the Simson line, mirror triangle, Fuhrmann circle, splitters, cleavers, and other remarkable properties of the triangle. The unexpected relationships between these elements are revealed in a way that is both engaging and easy to follow. This book is an ideal introduction for both students and professional mathematicians, offering a visually rich and intellectually rewarding journey into the fascinating world of triangle geometry.
Differential Equation Based Solutions for Emerging Real-Time Problems
This book describes differential equations correlation with qualitative and quantitative analysis, and mathematical modelling in the engineering and applied sciences. Given equations are explained from multidimensional characterizations with MATLAB codes.
Computational Intelligence and Industrial Applications
This two-volume set CCIS 2465-2466, constitutes of the proceedings of 11th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2024, held in Beijing, China, during November 1-5, 2024. The 55 full papers and 5 short papers included in this volume were carefully reviewed and selected from 135 submissions. The topics cover the following fields connected to computational intelligence and intelligent informatics: intelligent information processing, pattern recognition and computer vision, intelligent optimization and decision-making, advanced control, multi-agent systems, robotics and various applications of computational intelligence methods such as neural networks, fuzzy reasoning, evolutionary computing, machine learning and deep learning.
Bridging Eigenvalue Theory and Practice - Applications in Modern Engineering
AI in Banking
Big data and artificial intelligence (AI) cannot remain limited to academic theoretical research. It is crucial to utilize them in practical business scenarios, enabling cutting-edge technology to generate tangible value. This book delves into the application of AI from theory to practice, offering detailed insights into AI project design and code implementation across eleven business scenarios in four major sectors: retail banking, e-banking, bank credit, and tech operations. It provides hands-on examples of various technologies, including automatic machine learning, integrated learning, graph computation, recommendation systems, causal inference, generative adversarial networks, supervised learning, unsupervised learning, computer vision, reinforcement learning, fuzzy control, automatic control, speech recognition, semantic understanding, Bayesian networks, edge computing, and more. This book stands as a rare and practical guide to AI projects in the banking industry. By avoiding complex mathematical formulas and theoretical analyses, it uses plain language to illustrate how to apply AI technology in commercial banking business scenarios. With its strong readability and practical approach, this book enables readers to swiftly develop their own AI projects.
Combining Expert Knowledge and Deep Learning with Case-Based Reasoning for Predictive Maintenance
If a manufacturing company's main goal is to sell products profitably, protecting production systems from defects is essential and has led to vast documentation and expert knowledge. Industry 4.0 has facilitated access to sensor and operational data across the shop floor, enabling data-driven models that detect faults and predict failures, which are crucial for predictive maintenance to minimize unplanned downtimes and costs. Commonly, a universally applicable machine learning (ML) approach is used without explicitly integrating prior knowledge from sources beyond training data, risking incorrect rediscovery or neglecting already existing knowledge. Integrating expert knowledge with ML can address the scarcity of failure examples and avoid the learning of spurious correlations, though it poses technical challenges when combining Semantic Web-based knowledge graphs with neural networks (NNs) for time series data. For his research, a physical smart factory model with condition monitoring sensors and a knowledge graph was developed. This setup generated the required data for exploring the integration of expert knowledge with (Siamese) NNs for similarity-based fault detection, anomaly detection, and automation of root cause analysis. Patrick Klein applied symbolic and sub-symbolic AI techniques, demonstrating that integrating expert knowledge with NNs enhances prediction performance and confidence in them while reducing the number of learnable parameters and failure examples.
Image Schema Theory and Mathematical Cognition
This book uses blending theory in math cognition, and assesses the main aspect of this theory, called image schema theory. Applied work in math pedagogy has used this theory, but no work has assessed its validity. This book provides an overall assessment of the theory with regard to its validity in the study of math cognition. Overall, this book presents image schema theory as it has evolved today to mathematicians, cognitive scientists, and math educators, deriving from it any concrete implications for modeling math in computer science and, on the other side, for making math pedagogy more effective.
Mathematical Modelling of Fluid Dynamics and Nanofluids
Mathematical Modelling of Fluid Dynamics and Nanofluids serves as a comprehensive resource for various aspects of fluid dynamics simulations, nanofluid preparation, and numerical techniques. The book examines the applications of various concepts, including nanofluids, magnetohydrodynamics, heat and mass transfer, and radiation.
Journal of Applied Logics. The IfCoLog Journal of Logics and their Aplications. Volume 12, issue 3, March 2025
Math Mammoth Grade 7-A Worktext
Math Mammoth Grade 7-A Worktext (2025 Edition) is the student book for the first half of 7th grade mathematics studies or the first half of a pre-algebra course (Math Mammoth grade 7 is a pre-algebra curriculum). This is the full-color version of the worktext. Please note: The worktext does not include the answer key. The answer keys for grade 7 are sold as a separate book. The main areas of study in Math Mammoth Grade 7-A are: introduction to basic algebra conceptsintegers and their operationssolving one-step equations, including with negative numbersoperations with negative rational numberssolving linear equations and writing equations for word problemsFeaturesMath Mammoth focuses on conceptual understanding. It explains the "WHY", so your children can understand the math, not just learn "HOW" to do it.Concepts are often explained with visual models, followed by exercises using those models. These visual models can take the place of manipulatives for many children; however, it is very easy to add corresponding manipulatives to the lessons if so desired.The curriculum is mastery-oriented. This means it concentrates fairly long on a topic, delving into its various aspects. This promotes conceptual understanding, as opposed to spiral curricula that often tend to jump from topic to topic too much.It requires very little teacher preparation required.The curriculum has no separate teacher's manual nor is it scripted. The introduction to each chapter has some notes for the teacher concerning the material in the chapter. All the instruction is written directly to the student in the worktext, and there also exist accompanying videos where you can see Maria herself teach the material.After each chapter introduction, you will find a list of Internet links and resources (games, quizzes, animations, etc.) that can be used for fun, illustrations, and further practice.
Analytic Methods of Spectral Representations of Non-Selfadjoint (Non-Unitary) Operators
Statistical Inference Via Data Science
Offers a comprehensive guide to learning statistical inference with data science tools widely used in industry, academia, and government. Ideal for those new to statistics or looking to deepen their knowledge, this edition provides a clear entry point into data science and modern statistical methods.
Student Solutions Manual for Gallian's Contemporary Abstract Algebra
This is the only available student solutions manual prepared by the author of Contemporary Abstract Algebra, Eleventh Edition and the only official one. It is designed to supplement the text and the author's original approach to instruction.
Oriented Matroids
Oriented matroids appear throughout discrete geometry, with applications in algebra, topology, physics, and data analysis. This introduction to oriented matroids is intended for graduate students, scientists wanting to apply oriented matroids, and researchers in pure mathematics. The presentation is geometrically motivated and largely self-contained, and no knowledge of matroid theory is assumed. Beginning with geometric motivation grounded in linear algebra, the first chapters prove the major cryptomorphisms and the Topological Representation Theorem. From there the book uses basic topology to go directly from geometric intuition to rigorous discussion, avoiding the need for wider background knowledge. Topics include strong and weak maps, localizations and extensions, the Euclidean property and non-Euclidean properties, the Universality Theorem, convex polytopes, and triangulations. Themes that run throughout include the interplay between combinatorics, geometry, and topology, and the idea of oriented matroids as analogs to vector spaces over the real numbers and how this analogy plays out topologically.
2023-2024 Elementary School Contest Materials
This book contains one year of mathleague.org elementary school tests and answer keys: 7 qualifying-level test sets, one state-level test set, one national-level test set, and one international-level. Each test set contains a Sprint, Target, Team, and Number Sense test.
Indirect Methods of Data Collection and Analysis from Surveys
Pragmatic Mathematics for Scientists and Engineers
This is a textbook on basic to intermediate mathematics for undergraduate students majoring in the physical sciences and engineering. Many chapters, covering topics like Green's functions, calculus of variations, and functions of a complex variable, are well-suited for graduate classes. Additionally, researchers can benefit from the book as a mathematical refresher for their professional work.The book provides readers with a fundamental understanding of underlying principles, using derivations based more on mathematical intuition rather than exposing them to multiple theorems, proofs, and lemmas. Each chapter includes highly relevant examples with detailed solutions and explanations, promoting a practical application of knowledge to real problems in the physical sciences. For the convenience of both students and instructors, there are end-of-chapter exercises with answers that can be easily utilized for assignments.The book is not a replacement for calculus textbooks, but rather a guide to the mathematics most relevant to the physical sciences and engineering.In conclusion, this book can be readily adapted for upper-level undergraduate and graduate classes, particularly those focusing on mathematical methods for students in physical sciences, applied mathematics, and engineering majors.
