Merge pull request #2185 from betterscientificsoftware/curfman-patch-1

Update NumericalRecipiesOnline.md

CuratedContent/NumericalRecipiesOnline.md

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 ## Numerical Recipes Books
 
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-Demystifying Complex Algorithms: The 'Numerical Recipes' Book Series
+Demystifying complex algorithms: The 'Numerical Recipes' book series
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 #### Contributed by [Mark C. Miller](https://github.com/markcmiller86)
@@ -17,34 +17,34 @@ Website | [Numerical Recipes](http://numerical.recipes), available online
 The "Numerical Recipes" series of books provides detailed instructions on implementing a wide variety of numerical algorithms using computer programs.
 This series of books is available online.
 The material is designed primarily to be *accessible* to scientists and engineers who have no formal background in computer science or numerical methods.
-Because of this, topics such as parallelism, scalability, numerical efficiency and modernity (e.g. performance portability) are not a key focus of the material.
-Nonetheless, the series explains the theoretical concepts behind each algorithm and offers practical advice on how to effectively implement them including even example code in Fortran and C.
+Because of this, topics such as parallelism, scalability, numerical efficiency, and modernity (e.g., performance portability) are not a key focus of the material.
+Nonetheless, the series explains the theoretical concepts behind each algorithm and offers practical advice on how to effectively implement the algorithms, including even example code in Fortran and C.
 
 ### Content and Structure
 The books are organized into chapters, each focusing on a different area of numerical computation.
 Key topics covered include:
 
-- **Linear Algebra:** Solutions to systems of linear equations, eigenvalue problems, and matrix decompositions.
-- **Interpolation and Extrapolation:** Techniques for estimating values between discrete points of data.
-- **Integration and Differentiation:** Numerical methods for calculating integrals and derivatives.
-- **Root Finding and Nonlinear Sets of Equations:** Algorithms for solving single or multiple equations.
-- **Optimization:** Techniques for finding the minima or maxima of functions.
-- **Ordinary Differential Equations:** Methods for both initial and boundary value problems.
-- **Partial Differential Equations:** Numerical approaches to solve PDEs across various domains.
-- **Statistical Description of Data:** Basic statistics, fitting models to data, and hypothesis testing.
-- **Random Numbers:** Generation and use of pseudo-random and quasi-random sequences.
-- **Signal Processing:** Fourier and spectral analysis techniques.
+- **Linear algebra:** Solutions to systems of linear equations, eigenvalue problems, and matrix decompositions
+- **Interpolation and extrapolation:** Techniques for estimating values between discrete points of data
+- **Integration and differentiation:** Numerical methods for calculating integrals and derivatives
+- **Root finding and nonlinear sets of equations:** Algorithms for solving single or multiple equations
+- **Optimization:** Techniques for finding the minima or maxima of functions
+- **Ordinary differential equations:** Methods for both initial and boundary value problems
+- **Partial differential equations:** Numerical approaches to solve PDEs across various domains
+- **Statistical description of data:** Basic statistics, fitting models to data, and hypothesis testing
+- **Random numbers:** Generation and use of pseudo-random and quasi-random sequences
+- **Signal processing:** Fourier and spectral analysis techniques
 
 Of notable absence in the material are methods involving parallelism.
 
 ### Usage
 While the books are used across various disciplines for educational purposes, they also serve as a quick reference for professionals needing to implement a numerical method.
 The clear exposition and code samples help readers apply the techniques to real-world problems.
 
-### Reception and Legacy
+### Reception and legacy
 "Numerical Recipes" has been praised for demystifying complex numerical techniques and making them accessible to a broad audience.
-However, it has faced criticism over the years for the efficiency and modern relevance of some of its algorithms, particularly in the context of high-performance computing.
-Despite this, it remains a valuable resource for those early in their experiences learning and applying numerical methods in science and engineering.
+However, the series has faced criticism over the years for the efficiency and modern relevance of some of its algorithms, particularly in the context of high-performance computing.
+Despite this, the series remains a valuable resource for those early in their experiences learning and applying numerical methods in science and engineering.
 
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