Shooting method
Method for solving boundary value problems
In numerical analysis, the shooting method is a method for solving a boundary value problem by reducing it to an initial value problem. It involves finding solutions to the initial value problem for different initial conditions until one finds the solution that also satisfies the boundary conditions of the boundary value problem. In layman's terms, one "shoots" out trajectories in different directions from one boundary until one finds the trajectory that "hits" the other boundary condition.
01Mathematical description
Suppose one wants to solve the boundary-value problemLet
solve the initial-value problem
If
, then
is also a solution of the boundary-value problem.
The shooting method is the process of solving the initial value problem for many different values of until one finds the solution
that satisfies the desired boundary conditions. Typically, one does so numerically. The solution(s) correspond to root(s) of
To systematically vary the shooting parameter
and find the root, one can employ standard root-finding algorithms like the bisection method or Newton's method.
Roots of and solutions to the boundary value problem are equivalent. If
is a root of
, then
is a solution of the boundary value problem. Conversely, if the boundary value problem has a solution
, it is also the unique solution
of the initial value problem where
, so
is a root of
.

02Etymology and intuition
The term "shooting method" has its origin in artillery. An analogy for the shooting method is to
- place a cannon at the position
, then
- vary the angle
of the cannon, then
- fire the cannon until it hits the boundary value
.
Between each shot, the direction of the cannon is adjusted based on the previous shot, so every shot hits closer than the previous one. The trajectory that "hits" the desired boundary value is the solution to the boundary value problem, hence the name "shooting method".

03Linear shooting method
The boundary value problem is linear if f has the form
In this case, the solution to the boundary value problem is usually given by:
where
is the solution to the initial value problem:
and
is the solution to the initial value problem:
See the proof for the precise condition under which this result holds.

04Examples
Standard boundary value problem
A boundary value problem is given as follows by Stoer and Bulirsch (Section 7.3.1).
The initial value problem
was solved for s = −1, −2, −3, ..., −100, and F(s) = w(1;s) − 1 plotted in the Figure 2.
Inspecting the plot of F, we see that there are roots near −8 and −36.
Some trajectories of w(t;s) are shown in the Figure 1.
Stoer and Bulirsch state that there are two solutions, which can be found by algebraic methods.
These correspond to the initial conditions w′(0) = −8 and w′(0) = −35.9 (approximately).
Eigenvalue problem
The shooting method can also be used to solve eigenvalue problems. Consider the time-independent Schrödinger equation for the quantum harmonic oscillator In quantum mechanics, one seeks normalizable wave functions
and their corresponding energies subject to the boundary conditions
The problem can be solved analytically to find the energies
for
, but also serves as an excellent illustration of the shooting method. To apply it, first note some general properties of the Schrödinger equation:
- If
is an eigenfunction, so is
for any nonzero constant
.
- The
-th excited state
has
roots where
.
- For even
, the
-th excited state
is symmetric and nonzero at the origin.
- For odd
, the
-th excited state
is antisymmetric and thus zero at the origin.
To find the -th excited state
and its energy
, the shooting method is then to:
- Guess some energy
.
- Integrate the Schrödinger equation. For example, use the central finite difference
- If
is even, set
to some arbitrary number (say
, the wave function can be normalized after integration anyway) and use the symmetric property to find all remaining
.
- If
is odd, set
and
to some arbitrary number (say
, the wave function can be normalized after integration anyway) and find all remaining
.
- If
- Count the roots of
and refine the guess for the energy
.
- If there are
or less roots, the guessed energy is too low, so increase it and repeat the process.
- If there are more than
roots, the guessed energy is too high, so decrease it and repeat the process.
- If there are
The energy-guessing can be done with the bisection method, and the process can be terminated when the energy difference is sufficiently small. Then one can take any energy in the interval to be the correct energy.
Sources and credits
This article is adapted from the Wikipedia article “Shooting method”, written by its contributors and licensed under CC BY-SA 4.0. Fathomly has changed the layout, removed citation markers, navigation and maintenance notices, and adjusted punctuation. This adapted version is shared under the same license. For references, see the original article.
Images, from Wikimedia Commons:
- Shooting method trajectories.svg by Nicoguaro, CC BY 4.0
- Shooting method error.svg by Nicoguaro, CC BY 4.0
- Shooting method.svg by Hersle, CC BY-SA 4.0
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