|  | @@ -146,7 +146,7 @@ enum SparseLinearAlgebraLibraryType {
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				|  |  |    // minimum degree ordering.
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				|  |  |    SUITE_SPARSE,
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				|  |  |  
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				|  |  | -  // A lightweight replacment for SuiteSparse, which does not require
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				|  |  | +  // A lightweight replacement for SuiteSparse, which does not require
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				|  |  |    // a LAPACK/BLAS implementation. Consequently, its performance is
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				|  |  |    // also a bit lower than SuiteSparse.
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				|  |  |    CX_SPARSE,
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				|  | @@ -201,7 +201,7 @@ enum LineSearchDirectionType {
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				|  |  |    // symmetric matrix but only N conditions are specified by the Secant
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				|  |  |    // equation. The requirement that the Hessian approximation be positive
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				|  |  |    // definite imposes another N additional constraints, but that still leaves
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				|  |  | -  // remaining degrees-of-freedom.  (L)BFGS methods uniquely deteremine the
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				|  |  | +  // remaining degrees-of-freedom.  (L)BFGS methods uniquely determine the
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				|  |  |    // approximate Hessian by imposing the additional constraints that the
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				|  |  |    // approximation at the next iteration must be the 'closest' to the current
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				|  |  |    // approximation (the nature of how this proximity is measured is actually
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				|  | @@ -249,7 +249,7 @@ enum LineSearchDirectionType {
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				|  |  |    BFGS,
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				|  |  |  };
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				|  |  |  
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				|  |  | -// Nonliner conjugate gradient methods are a generalization of the
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				|  |  | +// Nonlinear conjugate gradient methods are a generalization of the
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				|  |  |  // method of Conjugate Gradients for linear systems. The
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				|  |  |  // generalization can be carried out in a number of different ways
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				|  |  |  // leading to number of different rules for computing the search
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