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A telecommunications lease is a lease that exists between a telecommunications provider, or a wireless company, and a landowner. Similar to other real estate leases, a telecommunications lease is put in place as an agreement to lease space on the landowner's property for a telecommunications site or cellular tower for a specified length of time.
A leveraged lease or leased lender is a lease in which the lessor puts up some of the money required to purchase the asset and borrows the rest from a lender. [1] The lender is given a senior secured interest on the asset and an assignment of the lease and lease payments.
In mathematical optimization, the problem of non-negative least squares (NNLS) is a type of constrained least squares problem where the coefficients are not allowed to become negative.
A Lease-Purchase Contract, also known as a lease purchase agreement or rent-to-own agreement, allows consumers to obtain durable goods [1] or rent-to-own real estate [2] without entering into a standard credit contract. [1] It is a shortened name for a lease with option to purchase contract.
MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages. Although MATLAB is intended primarily for numeric computing, an optional toolbox uses the MuPAD symbolic engine allowing access to symbolic computing abilities.
The primary application of the Levenberg–Marquardt algorithm is in the least-squares curve fitting problem: given a set of empirical pairs (,) of independent and dependent variables, find the parameters of the model curve (,) so that the sum of the squares of the deviations () is minimized: