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Biomolecular Feedback Systems. D. Del Vecchio and R.M. Murray. The Calculus Lifesaver:All the Tools You Need to Excel at Calculus. A. Banner. Calculus of Variations and Optimal Control Theory:A Concise Introduction. D. Liberzon. Classical and Nonclassical Logics:An Introduction to the Mathematics of Propositions. E. Schechter. Classical Mathematical Logic:The Semantic Foundations of Logic. R.L. Epstein. Differential Equations on Fractals:A Tutorial. R.S. Strichartz. Discrete and Computational Geometry. S.L. Devadoss and J. O'Rourke. Feedback Systems:An Introduction for Scientists and Engineers. K.Johan Aström and R.M. Murray. A First Course in Scientific Computing:Symbolic, Graphic, and Numeric Modeling Using Maple, Java, Mathematica, and Fortran90. R.H. Landau. The 5 Elements of Effective Thinking. E.B. Burger and M. Starbird. Fourier Analysis:An Introduction. E.M. Stein and R. Shakarchi. Functional Analysis:Introduction to Further Topics in Analysis. E.M. Stein and R. Shakarchi. Honors Calculus. C.R. MacCluer. How to Read Historical Mathematics. B. Wardhaugh. How to Solve It:A New Aspect of Mathematical Method. G. Polya.
An Introduction to Benford's Law. A. Berger and T.P. Hill.
Introduction to Computational Science:Modeling and Simulation for the Sciences (Second Edition). A.B. Shiflet and G.W. Shiflet. Introduction to Differential Equations with Dynamical Systems. S.L. Campbell and R. Haberman. Introduction to Partial Differential Equations (Second Edition). G.B. Folland. Introduction to the Numerical Solution of Markov Chains. W.J. Stewart. An Invitation to Modern Number Theory. S.J. Miller and R. Takloo-Bighash. Linear Systems Theory. J. Hespanha. Logic:The Laws of Truth. N. Smith.
Mastering ’Metrics:The Path from Cause to Effects. J.D. Angrist and J. Pischke.
Mathematical Methods for Geophysics and Space Physics. W.I. Newman.
Mathematics for the Life Sciences. E.N. Bodine, S. Lenhart & L.J. Gross.
Mathematics in Nature:Modeling Patterns in the Natural World. J.A. Adam. Modeling with Data:Tools and Techniques for Scientific Computing. B. Klemens. Nine Algorithms That Changed the Future:The Ingenious Ideas That Drive Today's Computers. J. MacCormick. Nonlinear Dynamical Systems and Control:A Lyapunov-Based Approach. W.M. Haddad and V. Chellaboina. Nonlinear Optimization. A. Ruszczynski. Number Theory:A Historical Approach. J.J. Watkins. Numerical Analysis. L.R. Scott. Numerical Methods:Design, Analysis, and Computer Implementation of Algorithms. A. Greenbaum and T. Chartier. Optimization: Insights and Applications. J. Brinkhuis and V. Tikhomirov.
Partial Differential Equations:An Introduction to Theory and Applications. M. Shearer and R. Levy.
Probability, Markov Chains, Queues, and Simulation:The Mathematical Basis of Performance Modeling. W.J. Stewart. Scientific Parallel Computing. L.R. Scott, T. Clark, et al. Small Unmanned Aircraft:Theory and Practice. R.W. Beard and T.W. McLain. Stability and Stabilization:An Introduction. W.J. Terrell. Steady Aircraft Flight and Performance. N.H. McClamroch. A Survey of Computational Physics:Introductory Computational Science. R.H. Landau, J. Páez, et al. Three Views of Logic:Mathematics, Philosophy, and Computer Science. D. Loveland, R.E. Hodel, et al. Topics in Commutative Ring Theory. J.J. Watkins. Topics in Mathematical Modeling. K.K. Tung. Validated Numerics:A Short Introduction to Rigorous Computations. W. Tucker. Viewpoints:Mathematical Perspective and Fractal Geometry in Art. M. Frantz and A. Crannell.
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