"An Image Processing Tour of College Mathematics aims to provide meaningful context for reviewing key topics of college mathematics curriculum, to help students gain confidence in using concepts and techniques of applied mathematics, to increase the students' awareness of recent…
"An Image Processing Tour of College Mathematics aims to provide meaningful context for reviewing key topics of college mathematics curriculum, to help students gain confidence in using concepts and techniques of applied mathematics, to increase the students' awareness of recent…
"An Image Processing Tour of College Mathematics aims to provide meaningful context for reviewing key topics of college mathematics curriculum, to help students gain confidence in using concepts and techniques of applied mathematics, to increase the students' awareness of recent…
"Quantitative Finance with Python: A Practical Guide to Investment Management, Trading and Financial Engineering bridges the gap between the theory of mathematical finance and the practical applications of these concepts for derivative pricing and portfolio management. The book …
"Scientific Computation has established itself as a stand-alone area of knowledge in the border area between computer science and applied mathematics. Nonetheless, its interdisciplinary character cannot be denied: its methodologies are increasingly used in a wide variety of bran…
"Scientific Computation has established itself as a stand-alone area of knowledge in the border area between computer science and applied mathematics. Nonetheless, its interdisciplinary character cannot be denied: its methodologies are increasingly used in a wide variety of bran…
"Foundations of Reinforcement Learning with Applications in Finance aims to demystify Reinforcement Learning, and to make it a practically useful tool for those studying and working in applied areas - especially finance. Reinforcement Learning is emerging as a viable and powerfu…
"Introduction to Financial Derivatives with Python is an ideal textbook for an undergraduate course on derivatives, whether on a finance, economics, or financial mathematics programme. As well as covering all of the essential topics one would expect to be covered, the book also …
"Introduction to Financial Derivatives with Python is an ideal textbook for an undergraduate course on derivatives, whether on a finance, economics, or financial mathematics programme. As well as covering all of the essential topics one would expect to be covered, the book also …
"Knot theory has proven to be a fascinating area of mathematical research, dating back about 150 years. Encyclopedia of Knot Theory provides short, interconnected articles on a variety of active areas in knot theory, and includes beautiful pictures, deep mathematical connections…
"One of the domains of artificial intelligence is knowledge-representation that focuses on the designing of the computer representation which acquires information across the world for solving complex problems. This book illustrates different techniques and structures that are us…
"Through the previous three editions, Handbook of Differential Equations has proven an invaluable reference for anyone working within the field of mathematics, including academics, students, scientists, and professional engineers. The book is a compilation of methods for solving…
Blockchain fundamentals / Sheetal Thakare, M A Pund -- Basics of blockchain architecture / Supriya Aras, Mangesh Bedekar -- Unblobking the blockchain : concepts and use cases / Padma Adane -- BlockCloud : blockchain as a cloud service / Urmila Shrawankar -- A deep dive into bloc…
"Stochastic Modelling of Big Data in Finance provides a rigorous overview and exploration of stochastic modelling of big data in finance (BDF). The book describes various stochastic models, including multivariate models, to deal with big data in finance. This includes data in hi…
"Introduction to Stochastic Finance with Market Examples, Second Edition presents an introduction to pricing and hedging in discrete and continuous time financial models, emphasizing both analytical and probabilistic methods. It demonstrates both the power and limitations of mat…
"Introduction to Stochastic Finance with Market Examples, Second Edition presents an introduction to pricing and hedging in discrete and continuous time financial models, emphasizing both analytical and probabilistic methods. It demonstrates both the power and limitations of mat…
"Introduction to Stochastic Finance with Market Examples, Second Edition presents an introduction to pricing and hedging in discrete and continuous time financial models, emphasizing both analytical and probabilistic methods. It demonstrates both the power and limitations of mat…
"When a student of mathematics studies abstract algebra, he or she inevitably faces questions in the vein of, "What is abstract algebra" or "What makes it abstract?" Algebra, in its broadest sense, describes a way of thinking about classes of sets equipped with binary operations…
"When a student of mathematics studies abstract algebra, he or she inevitably faces questions in the vein of, "What is abstract algebra" or "What makes it abstract?" Algebra, in its broadest sense, describes a way of thinking about classes of sets equipped with binary operations…
"When a student of mathematics studies abstract algebra, he or she inevitably faces questions in the vein of, "What is abstract algebra" or "What makes it abstract?" Algebra, in its broadest sense, describes a way of thinking about classes of sets equipped with binary operations…
