GordStephen

import Base.filter

"""
Implements a dual-estimation square-root unscented Kalman filter
with univariate noise-free observations, a parameter-free linear
measurement transform, nonlinear process evolution and general
(non-additive) process noise. 
"""

immutable DualEstimationModel

GordStephen

function cholupdate!(S::Matrix{Float64}, u::Vector{Float64}, downdate::Bool=false, checks::Bool=true)

    n = size(S,1)

    if checks
        @assert size(S,2) == n
        @assert length(u) == n
        @assert all(diag(S) .!= 0)
    end #if    

GordStephen

# Simulate Gen III Feebas fishing

S = 100000  # Simulations per cast count choice

N = 446 # Number of accessible water tiles on Route 119 
K = 6   # Number of Feebas tiles on the map
p = .5  # Probability of encountering a Feebas on a Feebas tile
M = 6   # Maximum number of casts per tile to simulate

find_feebas(is_feebas_tile) = is_feebas_tile ? rand() < p : false

GordStephen

julia> type A{S<:AbstractArray}
       data::S
       end

julia> type B{T,N}
       data::AbstractArray{T,N}
       end

julia> type C{T}
       data::AbstractMatrix{T}

GordStephen

{
    // --------------------------------------------------------------------
    // JSHint Configuration, Strict Edition
    // --------------------------------------------------------------------
    //
    // This is a options template for [JSHint][1], using [JSHint example][2]
    // and [Ory Band's example][3] as basis and setting config values to
    // be most strict:
    //
    // * set all enforcing options to true