Textbooks

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The Calculus Lifesaver:
All the Tools You Need to Excel at Calculus.
A. Banner.
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.
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.
Honors Calculus.
C.R. MacCluer.
Introduction to Computational Science:
Modeling and Simulation for the Sciences.
A.B. 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.
Mathematics for Physics and Physicists.
W. Appel.
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.
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.
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.

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