Los niveles altos de cortisol envejecen más rápido que otras adicciones.
Pérdida de libido, grasa corporal, ojeras, debilidad muscular: todos son señales.
7 maneras de bajarlo sin necesidad de medicamentos:
1. Agua con hielo en las mañanas
FREE Math Book.
"Applied Combinatorics," by Keller & Trotter. "We show students the beauty of combinatorics and how combinatorial problems naturally arise in many settings.... Combinatorial mathematics is one of the most fascinating and captivating subjects on the planet. Combinatorics is very concrete and has a wide range of applications, but it also has an intellectually appealing theoretical side. Our goal is to give you a taste of both."
Contents:
An Introduction to Combinatorics
Strings, Sets, and Binomial Coefficients
Induction
Combinatorial Basics
Graph Theory
Partially Ordered Sets
Inclusion-Exclusion
Generating Functions
Recurrence Equations
Probability
Applying Probability to Combinatorics
Graph Algorithms
Network Flows
Combinatorial Applications of Network Flows
Pólya’s Enumeration Theorem
The Many Faces of Combinatorics
Link: https://t.co/tvT0ADT5yo
1. Algebra is good for problem-solving.
2. Geometry is good for visual thinking.
3. Calculus is good for understanding change.
4. Statistics is good for decision-making.
5. Number theory is good for logical discipline.
6. Linear algebra is good for modern science and engineering.
7. Discrete math is good for computer science.
8. Differential equations are good for modeling the real world.
9. Optimization is good for smart planning.
10. Graph theory is good for network thinking.
11. Set theory is good for structured reasoning.
12. Practice is good for mathematical fluency.
13. Curiosity is good for lifelong learning in math.
FREE Math Book. 448 pages.
"Introduction to Applied Linear Algebra" by Boyd & Vandenberghe. Great for beginners. "Provides an intro to vectors, matrices, and least squares methods. Gives the beginning student, with little or no prior exposure to linear algebra, a good grounding in the basic ideas, as well as an appreciation for how they are used in many applications, including data fitting, machine learning and artificial intelligence, tomography, navigation, image processing, finance, and automatic control systems"
1. Vectors and Operations
2. Linear Functions and Models
3. Norm and Distance Calculations
4. Clustering Algorithms (K-Means)
5. Linear Independence and Bases
6. Matrices Fundamentals
7. Matrix Examples and Structures
8. Linear Equations and Systems
9. Linear Dynamical Systems
10. Matrix Multiplication Modules
11. Matrix Inverses and Solvers
12. Least Squares Approximations
13. Least Squares Data Fitting
14. Least Squares Classification
15. Multi-Objective Least Squares
16. Constrained Least Squares
17. Constrained Least Squares Applications
18. Nonlinear Least Squares
19. Constrained Nonlinear Least Squares
Link: https://t.co/ubR7K1gtzp
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