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Biomolecular Feedback Systems. D. Del Vecchio and R.M. Murray. Bitcoin and Cryptocurrency Technologies:A Comprehensive Introduction. A. Narayanan, J. Bonneau, et al. 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. Complex Analysis. E.M. Stein and R. Shakarchi. 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. 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. Hybrid Dynamical Systems:Modeling, Stability, and Robustness. R. Goebel, R. Sanfelice, et al. An Introduction to Benford's Law. A. Berger and T.P. Hill. Introduction to Computational Science:Modeling and Simulation for the Sciences. 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. 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. Mathematics for Physics and Physicists. W. Appel. Mathematics for the Life Sciences. E.N. Bodine, S. Lenhart, et al. Modeling with Data:Tools and Techniques for Scientific Computing. B. Klemens. 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. 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. Real Analysis:Measure Theory, Integration, and Hilbert Spaces. E.M. Stein and R. Shakarchi. Scientific Parallel Computing. L.R. Scott, T. Clark, et al. Small Unmanned Aircraft:Theory and Practice. R.W. Beard and T.W. McLain. Steady Aircraft Flight and Performance. N.H. McClamroch. A Survey of Computational Physics:Introductory Computational Science. R.H. Landau, J. Páez, 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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