Pre-Algebra: Keeping It Simple provides students with a highly accessible approach to foundational mathematical concepts. The text is designed to help students develop basic math skills that will prepare them to succeed in more advanced algebra courses. The text begins with a review of mathematical processes related to whole numbers, including adding, subtracting, multiplying, dividing, rounding, and estimation. The following chapter focuses on integers with coverage of exponents, order of operations, absolute value, and square roots. In later chapters, students learn mathematical processes related to fractions and decimals. The final chapter provides students with an introduction to algebra, including working with variables, simplifying expressions, solving linear equations, and understanding proportions. Throughout, the text features emphasis on application, demonstrating real-world use of the concepts in everyday life and other academic disciplines. Practice exams at the end of each chapter help students test their knowledge and reinforce key learnings. Approachable in nature and written to help students master critical knowledge, Pre-Algebra is well suited for beginning courses in the discipline. It is an excellent choice for bridging or fast-track programs.

Algebraic and Combinatorial Computational Biology introduces students and researchers to a panorama of powerful and current methods for mathematical problem-solving in modern computational biology. Presented in a modular format, each topic introduces the biological foundations of the field, covers specialized mathematical theory, and concludes by highlighting connections with ongoing research, particularly open questions. The work addresses problems from gene regulation, neuroscience, phylogenetics, molecular networks, assembly and folding of biomolecular structures, and the use of clustering methods in biology. A number of these chapters are surveys of new topics that have not been previously compiled into one unified source. These topics were selected because they highlight the use of technique from algebra and combinatorics that are becoming mainstream in the life sciences.

Factorization Method for Boundary Value Problems by Invariant Embedding presents a new theory for linear elliptic boundary value problems. The authors provide a transformation of the problem in two initial value problems that are uncoupled, enabling you to solve these successively. This method appears similar to the Gauss block factorization of the matrix, obtained in finite dimension after discretization of the problem. This proposed method is comparable to the computation of optimal feedbacks for linear quadratic control problems.