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2 changes: 1 addition & 1 deletion src/problems/rode_problems.jl
Original file line number Diff line number Diff line change
Expand Up @@ -26,7 +26,7 @@ to numbers or vectors for `u₀`; one is allowed to provide `u₀` as arbitrary
`isinplace` optionally sets whether the function is inplace or not. This is
determined automatically, but not inferred. `specialize` optionally controls
the specialization level. See the [specialization levels section of the SciMLBase documentation](https://docs.sciml.ai/SciMLBase/stable/interfaces/Problems/#Specialization-Levels)
for more details. The default is `AutoSpecialize.
for more details. The default is `AutoSpecialize`.

For more details on the in-place and specialization controls, see the ODEFunction documentation.

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2 changes: 1 addition & 1 deletion src/problems/sdde_problems.jl
Original file line number Diff line number Diff line change
Expand Up @@ -70,7 +70,7 @@ SDDEProblem{isinplace,specialize}(f,g[, u0], h, tspan[, p]; <keyword arguments>)
`isinplace` optionally sets whether the function is inplace or not. This is
determined automatically, but not inferred. `specialize` optionally controls
the specialization level. See the [specialization levels section of the SciMLBase documentation](https://docs.sciml.ai/SciMLBase/stable/interfaces/Problems/#Specialization-Levels)
for more details. The default is `AutoSpecialize.
for more details. The default is `AutoSpecialize`.

For more details on the in-place and specialization controls, see the ODEFunction documentation.

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2 changes: 1 addition & 1 deletion src/problems/sde_problems.jl
Original file line number Diff line number Diff line change
Expand Up @@ -41,7 +41,7 @@ with initial condition `u0`.
`isinplace` optionally sets whether the function is inplace or not. This is
determined automatically, but not inferred. `specialize` optionally controls
the specialization level. See the [specialization levels section of the SciMLBase documentation](https://docs.sciml.ai/SciMLBase/stable/interfaces/Problems/#Specialization-Levels)
for more details. The default is `AutoSpecialize.
for more details. The default is `AutoSpecialize`.

Parameters are optional, and if not given then a `NullParameters()` singleton
will be used which will throw nice errors if you try to index non-existent
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2 changes: 1 addition & 1 deletion src/solutions/nonlinear_solutions.jl
Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,7 @@ Statistics from the nonlinear equation solver about the solution process.
- nf: Number of function evaluations.
- njacs: Number of Jacobians created during the solve.
- nfactors: Number of factorzations of the jacobian required for the solve.
- nsolve: Number of linear solves `W\b` required for the solve.
- nsolve: Number of linear solves `W\\b` required for the solve.
- nsteps: Total number of iterations for the nonlinear solver.
"""
mutable struct NLStats
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2 changes: 1 addition & 1 deletion src/solutions/ode_solutions.jl
Original file line number Diff line number Diff line change
Expand Up @@ -14,7 +14,7 @@ Statistics from the differential equation solver about the solution process.
it is zero.
- nw: The number of W=I-gamma*J (or W=I/gamma-J) matrices constructed during the solving
process.
- nsolve: The number of linear solves `W\b` required for the integration.
- nsolve: The number of linear solves `W\\b` required for the integration.
- njacs: Number of Jacobians calculated during the integration.
- nnonliniter: Total number of iterations for the nonlinear solvers.
- nnonlinconvfail: Number of nonlinear solver convergence failures.
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2 changes: 1 addition & 1 deletion src/solve.jl
Original file line number Diff line number Diff line change
Expand Up @@ -48,7 +48,7 @@ solve(prob::OptimizationProblem, alg::AbstractOptimizationAlgorithm,
args...; kwargs...)::OptimizationSolution
```

For information about the returned solution object, refer to the documentation for [OptimizationSolution](@ref)
For information about the returned solution object, refer to the documentation for [`OptimizationSolution`](@ref)

## Keyword Arguments

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