Abstract: This book fills a gap in the existing literature for a serious presentation of numerical linear algebra that is accessible to undergraduates who have taken a basic course in linear algebra.

Linear and logistic regression models are essential tools for quantifying the relationship between outcomes and exposures. Understanding the mathematics behind these models and being able to apply ...

THE history of the theory of algebraic forms gives a striking example of the fact that the germ of a mathematical doctrine may remain dormant for a long period, and then suddenly develop in a most ...

Julia Kagan is a financial/consumer journalist and former senior editor, personal finance, of Investopedia. Thomas J. Brock is a CFA and CPA with more than 20 years of experience in various areas ...

With more than 50 million redeemed miles under her belt, Becky Pokora is a rewards travel expert. She's been writing about credit cards and reward travel since 2011 with articles on Forbes Advisor, ...

Casey Murphy has fanned his passion for finance through years of writing about active trading, technical analysis, market commentary, exchange-traded funds (ETFs), commodities, futures, options, and ...

Abstract: As one of the most critical components in modern LP solvers, presolve in linear programming (LP) employs a rich set of presolvers to remove different types of redundancy in input problems by ...

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